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            <h1>トランスエンコーダおよびデコーダモデル</h1>
<p><a href="https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/transformers/basic/autoregressive_experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg"></a></p>

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        <div class='code'>
            <div class="highlight"><pre><span class="lineno">13</span><span></span><span class="kn">import</span> <span class="nn">math</span>
<span class="lineno">14</span>
<span class="lineno">15</span><span class="kn">import</span> <span class="nn">torch</span>
<span class="lineno">16</span><span class="kn">import</span> <span class="nn">torch.nn</span> <span class="k">as</span> <span class="nn">nn</span>
<span class="lineno">17</span>
<span class="lineno">18</span><span class="kn">from</span> <span class="nn">labml_nn.utils</span> <span class="kn">import</span> <span class="n">clone_module_list</span>
<span class="lineno">19</span><span class="kn">from</span> <span class="nn">.feed_forward</span> <span class="kn">import</span> <span class="n">FeedForward</span>
<span class="lineno">20</span><span class="kn">from</span> <span class="nn">.mha</span> <span class="kn">import</span> <span class="n">MultiHeadAttention</span>
<span class="lineno">21</span><span class="kn">from</span> <span class="nn">.positional_encoding</span> <span class="kn">import</span> <span class="n">get_positional_encoding</span></pre></div>
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            <p><a id="EmbeddingsWithPositionalEncoding"></a></p>
<h2><a href="positional_encoding.html">トークンの埋め込みと固定位置エンコーディングの追加</a></h2>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">24</span><span class="k">class</span> <span class="nc">EmbeddingsWithPositionalEncoding</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
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                <a href='#section-2'>#</a>
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        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">31</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">n_vocab</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">max_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">5000</span><span class="p">):</span>
<span class="lineno">32</span>        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="lineno">33</span>        <span class="bp">self</span><span class="o">.</span><span class="n">linear</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Embedding</span><span class="p">(</span><span class="n">n_vocab</span><span class="p">,</span> <span class="n">d_model</span><span class="p">)</span>
<span class="lineno">34</span>        <span class="bp">self</span><span class="o">.</span><span class="n">d_model</span> <span class="o">=</span> <span class="n">d_model</span>
<span class="lineno">35</span>        <span class="bp">self</span><span class="o">.</span><span class="n">register_buffer</span><span class="p">(</span><span class="s1">&#39;positional_encodings&#39;</span><span class="p">,</span> <span class="n">get_positional_encoding</span><span class="p">(</span><span class="n">d_model</span><span class="p">,</span> <span class="n">max_len</span><span class="p">))</span></pre></div>
        </div>
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    <div class='section' id='section-3'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-3'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">37</span>    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
<span class="lineno">38</span>        <span class="n">pe</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">positional_encodings</span><span class="p">[:</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span><span class="o">.</span><span class="n">requires_grad_</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span>
<span class="lineno">39</span>        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">linear</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">d_model</span><span class="p">)</span> <span class="o">+</span> <span class="n">pe</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-4'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-4'>#</a>
            </div>
            <p><a id="EmbeddingsWithLearnedPositionalEncoding"></a></p>
<h2>トークンの埋め込みとパラメータ化された位置エンコーディングの追加</h2>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">42</span><span class="k">class</span> <span class="nc">EmbeddingsWithLearnedPositionalEncoding</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-5'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-5'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">49</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">n_vocab</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">max_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">5000</span><span class="p">):</span>
<span class="lineno">50</span>        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="lineno">51</span>        <span class="bp">self</span><span class="o">.</span><span class="n">linear</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Embedding</span><span class="p">(</span><span class="n">n_vocab</span><span class="p">,</span> <span class="n">d_model</span><span class="p">)</span>
<span class="lineno">52</span>        <span class="bp">self</span><span class="o">.</span><span class="n">d_model</span> <span class="o">=</span> <span class="n">d_model</span>
<span class="lineno">53</span>        <span class="bp">self</span><span class="o">.</span><span class="n">positional_encodings</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Parameter</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">max_len</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">d_model</span><span class="p">),</span> <span class="n">requires_grad</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-6'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-6'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">55</span>    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
<span class="lineno">56</span>        <span class="n">pe</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">positional_encodings</span><span class="p">[:</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span>
<span class="lineno">57</span>        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">linear</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">d_model</span><span class="p">)</span> <span class="o">+</span> <span class="n">pe</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-7'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-7'>#</a>
            </div>
            <p><a id="TransformerLayer"></a></p>
<h2>変圧器層</h2>
<p>これは、エンコーダ層またはデコーダ層として機能できます。</p>
<p>🗒 論文を含む一部の実装では、層の正規化が行われる場所に違いがあるようです。ここでは、アテンションネットワークとフィードフォワードネットワークの前に層の正規化を行い、元の残差ベクトルを追加します。別の方法は、残差を追加した後に層の正規化を行うことです。しかし、トレーニング中は安定性が低いことがわかりました。これについての詳細な議論は、「<a href="https://papers.labml.ai/paper/2002.04745">トランスフォーマーアーキテクチャにおける層正規化について」という論文に記載されています</a></p>。

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">60</span><span class="k">class</span> <span class="nc">TransformerLayer</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-8'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-8'>#</a>
            </div>
            <ul><li><code  class="highlight"><span></span><span class="n">d_model</span></code>
トークンの埋め込みサイズです</li>
<li><code  class="highlight"><span></span><span class="n">self_attn</span></code>
セルフアテンションモジュールです</li>
<li><code  class="highlight"><span></span><span class="n">src_attn</span></code>
ソース・アテンション・モジュールです (これをデコーダで使用する場合)</li>
<li><code  class="highlight"><span></span><span class="n">feed_forward</span></code>
フィードフォワードモジュールです</li>
<li><code  class="highlight"><span></span><span class="n">dropout_prob</span></code>
セルフアテンションとFFNの後に脱落する確率です</li></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">78</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span>
<span class="lineno">79</span>                 <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
<span class="lineno">80</span>                 <span class="n">self_attn</span><span class="p">:</span> <span class="n">MultiHeadAttention</span><span class="p">,</span>
<span class="lineno">81</span>                 <span class="n">src_attn</span><span class="p">:</span> <span class="n">MultiHeadAttention</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="lineno">82</span>                 <span class="n">feed_forward</span><span class="p">:</span> <span class="n">FeedForward</span><span class="p">,</span>
<span class="lineno">83</span>                 <span class="n">dropout_prob</span><span class="p">:</span> <span class="nb">float</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-9'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-9'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">91</span>        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="lineno">92</span>        <span class="bp">self</span><span class="o">.</span><span class="n">size</span> <span class="o">=</span> <span class="n">d_model</span>
<span class="lineno">93</span>        <span class="bp">self</span><span class="o">.</span><span class="n">self_attn</span> <span class="o">=</span> <span class="n">self_attn</span>
<span class="lineno">94</span>        <span class="bp">self</span><span class="o">.</span><span class="n">src_attn</span> <span class="o">=</span> <span class="n">src_attn</span>
<span class="lineno">95</span>        <span class="bp">self</span><span class="o">.</span><span class="n">feed_forward</span> <span class="o">=</span> <span class="n">feed_forward</span>
<span class="lineno">96</span>        <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">dropout_prob</span><span class="p">)</span>
<span class="lineno">97</span>        <span class="bp">self</span><span class="o">.</span><span class="n">norm_self_attn</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">LayerNorm</span><span class="p">([</span><span class="n">d_model</span><span class="p">])</span>
<span class="lineno">98</span>        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">src_attn</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="lineno">99</span>            <span class="bp">self</span><span class="o">.</span><span class="n">norm_src_attn</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">LayerNorm</span><span class="p">([</span><span class="n">d_model</span><span class="p">])</span>
<span class="lineno">100</span>        <span class="bp">self</span><span class="o">.</span><span class="n">norm_ff</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">LayerNorm</span><span class="p">([</span><span class="n">d_model</span><span class="p">])</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-10'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-10'>#</a>
            </div>
            <p>入力をフィードフォワード層に保存するかどうか</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">102</span>        <span class="bp">self</span><span class="o">.</span><span class="n">is_save_ff_input</span> <span class="o">=</span> <span class="kc">False</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-11'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-11'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">104</span>    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span>
<span class="lineno">105</span>                <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span>
<span class="lineno">106</span>                <span class="n">mask</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span>
<span class="lineno">107</span>                <span class="n">src</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="lineno">108</span>                <span class="n">src_mask</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-12'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-12'>#</a>
            </div>
            <p>セルフアテンションを行う前にベクトルを正規化してください</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">110</span>        <span class="n">z</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">norm_self_attn</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-13'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-13'>#</a>
            </div>
            <p>自己注意を向ける。つまり、キーと値は自己からのものだ</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">112</span>        <span class="n">self_attn</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">self_attn</span><span class="p">(</span><span class="n">query</span><span class="o">=</span><span class="n">z</span><span class="p">,</span> <span class="n">key</span><span class="o">=</span><span class="n">z</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">z</span><span class="p">,</span> <span class="n">mask</span><span class="o">=</span><span class="n">mask</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-14'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-14'>#</a>
            </div>
            <p>セルフアテンションの結果を追加</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">114</span>        <span class="n">x</span> <span class="o">=</span> <span class="n">x</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">self_attn</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-15'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-15'>#</a>
            </div>
            <p>ソースが提供されている場合は、ソースに注目して結果を取得します。これは、エンコーダー出力に注目するデコーダーレイヤーがある場合です</p>。

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">119</span>        <span class="k">if</span> <span class="n">src</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-16'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-16'>#</a>
            </div>
            <p>ベクトルを正規化</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">121</span>            <span class="n">z</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">norm_src_attn</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-17'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-17'>#</a>
            </div>
            <p>ソースに注意。つまり、キーと値はソースからのものです</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">123</span>            <span class="n">attn_src</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">src_attn</span><span class="p">(</span><span class="n">query</span><span class="o">=</span><span class="n">z</span><span class="p">,</span> <span class="n">key</span><span class="o">=</span><span class="n">src</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">src</span><span class="p">,</span> <span class="n">mask</span><span class="o">=</span><span class="n">src_mask</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-18'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-18'>#</a>
            </div>
            <p>ソースアテンション結果の追加</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">125</span>            <span class="n">x</span> <span class="o">=</span> <span class="n">x</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">attn_src</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-19'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-19'>#</a>
            </div>
            <p>フィードフォワード用に正規化</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">128</span>        <span class="n">z</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">norm_ff</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-20'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-20'>#</a>
            </div>
            <p>指定されている場合、入力をフィードフォワード層に保存します</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">130</span>        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_save_ff_input</span><span class="p">:</span>
<span class="lineno">131</span>            <span class="bp">self</span><span class="o">.</span><span class="n">ff_input</span> <span class="o">=</span> <span class="n">z</span><span class="o">.</span><span class="n">clone</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-21'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-21'>#</a>
            </div>
            <p>フィードフォワードネットワークを通過</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">133</span>        <span class="n">ff</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">feed_forward</span><span class="p">(</span><span class="n">z</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-22'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-22'>#</a>
            </div>
            <p>フィードフォワードの結果を追加し直す</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">135</span>        <span class="n">x</span> <span class="o">=</span> <span class="n">x</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">ff</span><span class="p">)</span>
<span class="lineno">136</span>
<span class="lineno">137</span>        <span class="k">return</span> <span class="n">x</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-23'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-23'>#</a>
            </div>
            <p><a id="Encoder"></a></p>
<h2>トランスエンコーダ</h2>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">140</span><span class="k">class</span> <span class="nc">Encoder</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-24'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-24'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">147</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">layer</span><span class="p">:</span> <span class="n">TransformerLayer</span><span class="p">,</span> <span class="n">n_layers</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
<span class="lineno">148</span>        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-25'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-25'>#</a>
            </div>
            <p>トランスレイヤーのコピーを作成</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">150</span>        <span class="bp">self</span><span class="o">.</span><span class="n">layers</span> <span class="o">=</span> <span class="n">clone_module_list</span><span class="p">(</span><span class="n">layer</span><span class="p">,</span> <span class="n">n_layers</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-26'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-26'>#</a>
            </div>
            <p>最終正規化レイヤー</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">152</span>        <span class="bp">self</span><span class="o">.</span><span class="n">norm</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">LayerNorm</span><span class="p">([</span><span class="n">layer</span><span class="o">.</span><span class="n">size</span><span class="p">])</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-27'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-27'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">154</span>    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">mask</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-28'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-28'>#</a>
            </div>
            <p>各変圧器層に通す</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">156</span>        <span class="k">for</span> <span class="n">layer</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">layers</span><span class="p">:</span>
<span class="lineno">157</span>            <span class="n">x</span> <span class="o">=</span> <span class="n">layer</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">x</span><span class="p">,</span> <span class="n">mask</span><span class="o">=</span><span class="n">mask</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-29'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-29'>#</a>
            </div>
            <p>最後に、ベクトルを正規化します。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">159</span>        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-30'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-30'>#</a>
            </div>
            <p><a id="Decoder"></a></p>
<h2>トランスデコーダー</h2>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">162</span><span class="k">class</span> <span class="nc">Decoder</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-31'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-31'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">169</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">layer</span><span class="p">:</span> <span class="n">TransformerLayer</span><span class="p">,</span> <span class="n">n_layers</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
<span class="lineno">170</span>        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-32'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-32'>#</a>
            </div>
            <p>トランスレイヤーのコピーを作成</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">172</span>        <span class="bp">self</span><span class="o">.</span><span class="n">layers</span> <span class="o">=</span> <span class="n">clone_module_list</span><span class="p">(</span><span class="n">layer</span><span class="p">,</span> <span class="n">n_layers</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-33'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-33'>#</a>
            </div>
            <p>最終正規化レイヤー</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">174</span>        <span class="bp">self</span><span class="o">.</span><span class="n">norm</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">LayerNorm</span><span class="p">([</span><span class="n">layer</span><span class="o">.</span><span class="n">size</span><span class="p">])</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-34'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-34'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">176</span>    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">memory</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">src_mask</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">tgt_mask</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-35'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-35'>#</a>
            </div>
            <p>各変圧器層に通す</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">178</span>        <span class="k">for</span> <span class="n">layer</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">layers</span><span class="p">:</span>
<span class="lineno">179</span>            <span class="n">x</span> <span class="o">=</span> <span class="n">layer</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">x</span><span class="p">,</span> <span class="n">mask</span><span class="o">=</span><span class="n">tgt_mask</span><span class="p">,</span> <span class="n">src</span><span class="o">=</span><span class="n">memory</span><span class="p">,</span> <span class="n">src_mask</span><span class="o">=</span><span class="n">src_mask</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-36'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-36'>#</a>
            </div>
            <p>最後に、ベクトルを正規化します。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">181</span>        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-37'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-37'>#</a>
            </div>
            <p><a id="Generator"></a></p>
<h2>ジェネレータ</h2>
<p>これによりトークンが予測され、そのトークンの of softmax が算出されます。を使用している場合はこれは必要ありません<code  class="highlight"><span></span><span class="n">nn</span><span class="o">.</span><span class="n">CrossEntropyLoss</span></code>
。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">184</span><span class="k">class</span> <span class="nc">Generator</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-38'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-38'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">194</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_vocab</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
<span class="lineno">195</span>        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="lineno">196</span>        <span class="bp">self</span><span class="o">.</span><span class="n">projection</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">d_model</span><span class="p">,</span> <span class="n">n_vocab</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-39'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-39'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">198</span>    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
<span class="lineno">199</span>        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">projection</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-40'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-40'>#</a>
            </div>
            <p><a id="EncoderDecoder"></a></p>
<h2>複合エンコーダ/デコーダ</h2>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">202</span><span class="k">class</span> <span class="nc">EncoderDecoder</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-41'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-41'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">209</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">encoder</span><span class="p">:</span> <span class="n">Encoder</span><span class="p">,</span> <span class="n">decoder</span><span class="p">:</span> <span class="n">Decoder</span><span class="p">,</span> <span class="n">src_embed</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">,</span> <span class="n">tgt_embed</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">,</span> <span class="n">generator</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
<span class="lineno">210</span>        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="lineno">211</span>        <span class="bp">self</span><span class="o">.</span><span class="n">encoder</span> <span class="o">=</span> <span class="n">encoder</span>
<span class="lineno">212</span>        <span class="bp">self</span><span class="o">.</span><span class="n">decoder</span> <span class="o">=</span> <span class="n">decoder</span>
<span class="lineno">213</span>        <span class="bp">self</span><span class="o">.</span><span class="n">src_embed</span> <span class="o">=</span> <span class="n">src_embed</span>
<span class="lineno">214</span>        <span class="bp">self</span><span class="o">.</span><span class="n">tgt_embed</span> <span class="o">=</span> <span class="n">tgt_embed</span>
<span class="lineno">215</span>        <span class="bp">self</span><span class="o">.</span><span class="n">generator</span> <span class="o">=</span> <span class="n">generator</span></pre></div>
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            <p>これは彼らのコードからすると重要でした。Glorot /fan_avg を使用してパラメーターを初期化します</p>。

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            <div class="highlight"><pre><span class="lineno">219</span>        <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
<span class="lineno">220</span>            <span class="k">if</span> <span class="n">p</span><span class="o">.</span><span class="n">dim</span><span class="p">()</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
<span class="lineno">221</span>                <span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">xavier_uniform_</span><span class="p">(</span><span class="n">p</span><span class="p">)</span></pre></div>
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                <a href='#section-43'>#</a>
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            <div class="highlight"><pre><span class="lineno">223</span>    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">src</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">tgt</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">src_mask</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">tgt_mask</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span></pre></div>
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    <div class='section' id='section-44'>
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            <p>ソースをエンコーダで実行</p>

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            <div class="highlight"><pre><span class="lineno">225</span>        <span class="n">enc</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">encode</span><span class="p">(</span><span class="n">src</span><span class="p">,</span> <span class="n">src_mask</span><span class="p">)</span></pre></div>
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            <p>デコーダーによるエンコーディングとターゲットの実行</p>

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            <div class="highlight"><pre><span class="lineno">227</span>        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="n">enc</span><span class="p">,</span> <span class="n">src_mask</span><span class="p">,</span> <span class="n">tgt</span><span class="p">,</span> <span class="n">tgt_mask</span><span class="p">)</span></pre></div>
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    <div class='section' id='section-46'>
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                <a href='#section-46'>#</a>
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            <div class="highlight"><pre><span class="lineno">229</span>    <span class="k">def</span> <span class="nf">encode</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">src</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">src_mask</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
<span class="lineno">230</span>        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">encoder</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">src_embed</span><span class="p">(</span><span class="n">src</span><span class="p">),</span> <span class="n">src_mask</span><span class="p">)</span></pre></div>
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    <div class='section' id='section-47'>
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            <div class="highlight"><pre><span class="lineno">232</span>    <span class="k">def</span> <span class="nf">decode</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">memory</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">src_mask</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">tgt</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">tgt_mask</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
<span class="lineno">233</span>        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">decoder</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">tgt_embed</span><span class="p">(</span><span class="n">tgt</span><span class="p">),</span> <span class="n">memory</span><span class="p">,</span> <span class="n">src_mask</span><span class="p">,</span> <span class="n">tgt_mask</span><span class="p">)</span></pre></div>
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